Better health care at lower costs, for everyone – how do health care providers get there? Understanding the gaps in patient care, patient needs, and the geographic distribution of the patient population are important elements to consider when making decisions about improving the quality of care and reducing its costs.
To effectively analyze gaps in patient care, the data needs to be in a single place or system. However, in many organizations, data is spread across a myriad of spreadsheets and database systems. Data not organized for visual exploration and coherent analysis isn’t useful for decision making. Hence the need for visually appealing and scalable analytical tools to help organizations be more efficient, effective and economically successful.
Known for its industry-leading analytics, data management and business intelligence solutions, SAS is focused on helping organizations use data and analytics to make better decisions, faster. The combination of self-service BI and analytics positions you for improved productivity and smarter business decisions. So you can become more competitive as you use all your data to take better actions. Instead of depending on hunch-based choices, you can make decisions that are truly rooted in discovery and
analytics. And you can do it through an interface that anyone can use.
At last, your business users can get close enough to the data to manipulate it and draw their own reliable, fact-based conclusions. And they can do it in seconds or minutes, not hours or days.
Equally important, IT remains in control of data access and security by providing trusted data sets and defined processes that promote the valuable, user-generated content for reuse and consistency. But, they are no longer forced
As your organization struggles with growing volumes and sources of data, increasingly
complex regulatory requirements, and pressure to do more with fewer resources, SAS
Data Management can help. How? Our solution helps you make sense of your data so
you can make better decisions. Then you can take the right actions to improve
customer experience, boost revenue, become more efficient and remain compliant
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for
the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics, and operations. Even so, traditional, latent data practices are possible, too.
Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and
discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. With the
right end-user tools, a data lake can enable the self-service data practices that both technical and business users need. These practices wring business value from big data, other new data sources, and burgeoning enterprise da
Despite heavy, long-term investments in data management, data problems at many organizations continue to grow. One reason is that data has traditionally been perceived as just one aspect of a technology project; it has not been treated as a corporate asset. Consequently, the belief was that traditional application and database planning efforts were sufficient to address ongoing data issues.
For data scientists and business analysts who prepare data for analytics, data management technology from SAS acts like a data filter – providing a single platform that lets them access, cleanse, transform and structure data for any analytical purpose. As it
removes the drudgery of routine data preparation, it reveals sparkling clean data and adds value along the way. And that can lead to higher productivity, better decisions and greater agility.
SAS adheres to five data management best practices that support advanced analytics
and deeper insights:
• Simplify access to traditional and emerging data.
• Strengthen the data scientist’s arsenal with advanced analytics techniques.
• Scrub data to build quality into existing processes.
• Shape data using flexible manipulation techniques.
• Share metadata across data management and analytics domains.
The 2016 ACFE Report to the Nations on Occupational Fraud and Abuse analyzed 2,410 occupational fraud cases that caused a total loss of more than $6.3 billion.8 Victim organizations that lacked anti-fraud controls suffered double the amount of median losses.
SAS’ unique, hybrid approach to insider threat deterrence – which combines traditional detection methods and investigative methodologies with behavioral analysis – enables complete, continuous monitoring. As a result, government agencies and companies can take pre-emptive action before damaging incidents occur. Equally important, SAS solutions are powerful yet simple to use, reducing the need to hire a cadre of high-end data modelers and analytics specialists. Automation of data integration and analytics processing makes it easy to deploy into daily operations.
The most recent decade has seen rapid advances in connectivity, mobility, analytics, scalability, and data, spawning what has been called the fourth industrial revolution, or Industry 4.0. This fourth industrial revolution has digitalized operations and resulted in transformations in manufacturing efficiency, supply chain performance, product innovation, and in some cases enabled entirely new business models.
This transformation should be top of mind for quality leaders, as quality improvement and monitoring are among the top use cases for Industry 4.0. Quality 4.0 is closely aligning quality management with Industry 4.0 to enable enterprise efficiencies, performance, innovation and business models. However, much of the market isn’t focusing on Quality 4.0, since many quality teams are still trying to solve yesterday’s problems: inefficiency caused by fragmented systems, manual metrics calculations, quality teams independently performing quality work with minimal cross-functional own
The Internet of Things enables retailers to do three basics better
1) Sensing who customers are and what they’re doing,
2) Understanding customer behavior and preferences, and
3)Acting on that insight to create a more engaging customer
- There are high-potential IoT applications in supply chain, in
“smart store” operations, and especially in providing an engaging
experience to the “connected customer.” IoT data can anticipate
where the customer is headed and how to meet her there.
- Much of the IoT ground, in both data management and analytics,
may be unfamiliar. Retailers and their IT organizations have to be
realistic about the technological challenges, their own capabilities,
and where they need assistance.
- To differentiate through IoT, focus on the analytics. Devices and
their data — and even their platforms — are commodities.
Advantage goes to the retailer who does the most with the data to
engage the connected customer.
Ensuring the reliability and efficiency of your data center operations requires a strategic partner that is qualified to minimize energy usage, reduce costs, and optimize space utilization, helping you meet critical business initiatives.
Published By: Extensis
Published Date: Jun 08, 2010
Metadata Management is the process of ensuring that all metadata associated with a digital asset is captured, organized, stored and made available for use by and within other applications. Metadata Management begins at the moment the digital asset is created by an application or captured by digital imaging.
All those employees who access email, financial systems, human resources, and other core corporate applications; Replay for Exchange continuously protects and monitors the health of your Exchange data stores and allows administrators to quickly search, recover, and analyze mailbox content. With Replay for Exchange you can restore individual email messages, folders, or mailboxes to a live Exchange server or directly to a PST, thereby solving some of your most costly and time consuming challenges. Take advantage of these Free Trial Offer!!
Published By: ZoomInfo
Published Date: Sep 07, 2010
Find and connect quickly with the right people, prospects, and opportunities to grow your sales pipeline and boost conversion rates. The ZoomInfo™ Database is the only source of business information combining the business web, community contributors, and professionals who post their own profiles-updated 24 hours a day, 7 days a week. Unlock the power of this data with our next-generation prospecting tool, ZoomInfo™ Pro, featuring rich segmentation, export capabilities, and list building. Add custom appends and lists to streamline revenue generation and maximize ROI. Start your free trial today.
Published By: Evatronix
Published Date: Nov 02, 2012
ARM® TrustZone® along with Trusted Execution Environments provide a secure, integrated and convenient way to manage sensitive and valuable assets on a mobile device. It adjusts the device to the user, not vice versa, and thus opens a whole new
Windows Server 2012 represents a paradigm shift from the traditional client/server model to a new cloud-based infrastructure. Is your business ready? Download this whitepaper to learn the 7 key questions you need to answer now
A Java application that will successfully be able to retrieve, insert & delete data from our database which will be implemented in HBase along with.Basically the idea is to provide much faster, safer method to transmit & receive huge amounts of data
We are fully entrenched in the digital age, so much so that you're probably reading this with a smartphone or mobile device within arms length. Similarly government is also making the shift towards a digital future.
But with moving away from paper-based records and towards digital data, there are new opportunities for potential security risks regarding government data and content. As cyberthreats continue to grow in number and sophistication, agencies should be looking at features to secure every level of their digital infrastructure and content.
Check out this new pocket guide to learn content security best practices, why it matters, government rules and regulations related to digital data and its associated security and content challenges. You’ll also learn tips and tricks to apply at your agency to make sure your content is secure.
In this webinar, we will review the landscape of streaming data and message queueing technology and introduce and demonstrate a method for an organization to assess and benchmark the technologies currently available.
Disaster Recovery Plan Roadmap
Learn how automatic backup delivers guaranteed business data
protection and recovery—no matter the threat.
When ransomware hits, the average small business experiences two full days of downtime. One-third of businesses lose revenue and all experience brand and loyalty damage that’s harder to quantify. To stop the bleeding, most small businesses end up paying at least $2,500 to get their data back. But paying the ransom doesn’t guarantee anything. Plenty of businesses have fully complied with the ransom demands, only to have the ransomer increase the ransom request—or simply take off with the ransom and the data.